chr13.6043_chr13_97261041_97261719_-_0.R fitVsDatCorrelation=0.93246373923695 cont.fitVsDatCorrelation=0.287733297194596 fstatistic=9723.4987056699,37,347 cont.fstatistic=1375.52997921656,37,347 residuals=-0.562111623183872,-0.0829590080834653,-0.00351310100972082,0.0814295241266952,0.529858295828416 cont.residuals=-0.632472278900269,-0.264397281397954,-0.0776000313622782,0.253988715964472,1.28871580613215 predictedValues: Include Exclude Both chr13.6043_chr13_97261041_97261719_-_0.R.tl.Lung 117.630440203696 52.802860056896 56.7836628458402 chr13.6043_chr13_97261041_97261719_-_0.R.tl.cerebhem 77.6767084280878 54.9944488873753 62.75264319574 chr13.6043_chr13_97261041_97261719_-_0.R.tl.cortex 101.681332229579 63.104115191867 65.5426771217887 chr13.6043_chr13_97261041_97261719_-_0.R.tl.heart 110.778774701444 52.821565274869 57.0552492685952 chr13.6043_chr13_97261041_97261719_-_0.R.tl.kidney 126.471576961200 55.3668888797919 57.6650987034971 chr13.6043_chr13_97261041_97261719_-_0.R.tl.liver 138.019027971346 56.1900836327065 63.2257831740465 chr13.6043_chr13_97261041_97261719_-_0.R.tl.stomach 117.564232770079 55.2931339134694 64.7108263876682 chr13.6043_chr13_97261041_97261719_-_0.R.tl.testicle 124.25201224167 51.8259595040375 57.7045571781113 diffExp=64.8275801468003,22.6822595407125,38.5772170377119,57.9572094265751,71.1046880814084,81.8289443386394,62.2710988566098,72.4260527376324 diffExpScore=0.99788438167056 diffExp1.5=1,0,1,1,1,1,1,1 diffExp1.5Score=0.875 diffExp1.4=1,1,1,1,1,1,1,1 diffExp1.4Score=0.888888888888889 diffExp1.3=1,1,1,1,1,1,1,1 diffExp1.3Score=0.888888888888889 diffExp1.2=1,1,1,1,1,1,1,1 diffExp1.2Score=0.888888888888889 cont.predictedValues: Include Exclude Both Lung 81.8983269099513 73.9148851094501 68.0687115370541 cerebhem 80.6552182401298 84.4223317141626 80.2299597674151 cortex 76.128671293333 67.508060744114 66.4198821549558 heart 86.9573924725747 63.3530338827426 76.3303823524395 kidney 82.7831662650172 73.9922921703914 74.2943756950647 liver 66.6416564094801 72.139184362133 63.9697595187523 stomach 81.5952910197344 67.2131094059203 64.0246235112113 testicle 68.6671703126908 77.1277723814762 63.6837145576818 cont.diffExp=7.9834418005012,-3.76711347403284,8.62061054921907,23.6043585898321,8.7908740946258,-5.49752795265299,14.3821816138141,-8.4606020687854 cont.diffExpScore=1.7383899652212 cont.diffExp1.5=0,0,0,0,0,0,0,0 cont.diffExp1.5Score=0 cont.diffExp1.4=0,0,0,0,0,0,0,0 cont.diffExp1.4Score=0 cont.diffExp1.3=0,0,0,1,0,0,0,0 cont.diffExp1.3Score=0.5 cont.diffExp1.2=0,0,0,1,0,0,1,0 cont.diffExp1.2Score=0.666666666666667 tran.correlation=-0.221386838906519 cont.tran.correlation=-0.261604048741219 tran.covariance=-0.00223678513444393 cont.tran.covariance=-0.00232077485027884 tran.mean=84.7795725530072 cont.tran.mean=75.3123476683313 weightedLogRatios: wLogRatio Lung 3.49793587222412 cerebhem 1.44341431494593 cortex 2.09109429926052 heart 3.21221847082272 kidney 3.656860449067 liver 4.02421961403512 stomach 3.31139730563049 testicle 3.83442348251556 cont.weightedLogRatios: wLogRatio Lung 0.446585245672433 cerebhem -0.201446987539588 cortex 0.513440549345205 heart 1.36402968415680 kidney 0.489480619351845 liver -0.336012113589484 stomach 0.834718546210457 testicle -0.498158698882909 varWeightedLogRatios=0.810319507563815 cont.varWeightedLogRatios=0.401199442138939 coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.42168103250301 0.0764601763908138 57.8298565504519 3.12230580550771e-180 *** df.mm.trans1 0.425998803828759 0.06370181970336 6.68738830087596 9.1026977238753e-11 *** df.mm.trans2 -0.502235544325435 0.06370181970336 -7.8841632258575 4.14626126600737e-14 *** df.mm.exp2 -0.474277545169773 0.0877677255605425 -5.40378074218883 1.21507308021468e-07 *** df.mm.exp3 -0.110936322025553 0.0877677255605424 -1.263976265957 0.207086967251297 df.mm.exp4 -0.0644298971639749 0.0877677255605424 -0.734095554516004 0.463386234048292 df.mm.exp5 0.104482675118090 0.0877677255605424 1.19044528556248 0.234685182562939 df.mm.exp6 0.114555127615438 0.0877677255605424 1.30520788688341 0.192686866582769 df.mm.exp7 -0.0851594792332466 0.0877677255605424 -0.970282398106618 0.332581574679483 df.mm.exp8 0.0200023356292264 0.0877677255605424 0.227900808656922 0.819857582778056 df.mm.trans1:exp2 0.0592851475358478 0.0741772666853372 0.799236075755361 0.424700267894687 df.mm.trans2:exp2 0.51494443899865 0.0741772666853372 6.94207891459608 1.90852948936712e-11 *** df.mm.trans1:exp3 -0.0347677962392989 0.0741772666853372 -0.468712286026731 0.639569619036537 df.mm.trans2:exp3 0.289156949443545 0.0741772666853372 3.8981882504536 0.000116333457999106 *** df.mm.trans1:exp4 0.00441724182063379 0.0741772666853372 0.0595498057291851 0.952548476599754 df.mm.trans2:exp4 0.0647840807367566 0.0741772666853372 0.87336840020775 0.383066295796567 df.mm.trans1:exp5 -0.032012927489806 0.0741772666853372 -0.431573296244604 0.666319582910214 df.mm.trans2:exp5 -0.0570662906823499 0.0741772666853372 -0.7693231798959 0.442224824604148 df.mm.trans1:exp6 0.0452885846475977 0.0741772666853372 0.610545341872916 0.541900289093737 df.mm.trans2:exp6 -0.0523801910905888 0.0741772666853372 -0.706148843590956 0.480569414569465 df.mm.trans1:exp7 0.0845964780859091 0.0741772666853372 1.14046367392817 0.254879708607986 df.mm.trans2:exp7 0.131242862366764 0.0741772666853372 1.76931381043603 0.0777198133607988 . df.mm.trans1:exp8 0.0347616770809589 0.0741772666853372 0.468629792311158 0.639628534428181 df.mm.trans2:exp8 -0.0386765201597201 0.0741772666853372 -0.521406650420099 0.602416129734744 df.mm.trans1:probe2 -0.178459447196617 0.0406285622176357 -4.39246277632619 1.49060598923181e-05 *** df.mm.trans1:probe3 -0.059947843515508 0.0406285622176357 -1.47550984438938 0.140982309930599 df.mm.trans1:probe4 -0.323186805925672 0.0406285622176357 -7.95467002239588 2.56518352406050e-14 *** df.mm.trans1:probe5 0.0465708001233621 0.0406285622176357 1.14625764687157 0.252478389838565 df.mm.trans1:probe6 -0.286296594409273 0.0406285622176357 -7.04668289455245 9.92574778663693e-12 *** df.mm.trans2:probe2 0.138339856214766 0.0406285622176357 3.40499020058152 0.000739159904609558 *** df.mm.trans2:probe3 -0.0192070436799607 0.0406285622176357 -0.472747314489596 0.636690674013982 df.mm.trans2:probe4 0.0528337538224742 0.0406285622176357 1.30040914417446 0.194323787307891 df.mm.trans2:probe5 0.115147894305058 0.0406285622176357 2.83416119153425 0.00486352711620101 ** df.mm.trans2:probe6 0.184084227456326 0.0406285622176357 4.53090676628524 8.09116558074312e-06 *** df.mm.trans3:probe2 -0.216458032639852 0.0406285622176357 -5.32773056256206 1.79292721968217e-07 *** df.mm.trans3:probe3 -0.49512459913623 0.0406285622176357 -12.1866138526879 1.10987465074403e-28 *** df.mm.trans3:probe4 -0.513199902644003 0.0406285622176357 -12.6315053900982 2.36653666291609e-30 *** cont.coeff: Name Estimate Std-Error t-value Pr(>|t|) Signif df.mm.(Intercept) 4.49545628402619 0.202696101962900 22.1783065411342 1.70606492101589e-68 *** df.mm.trans1 -0.0549195539632163 0.168873669291794 -0.325210876233888 0.745217470824985 df.mm.trans2 -0.212655869082011 0.168873669291794 -1.25926007277408 0.208782813582667 df.mm.exp2 -0.046756676563837 0.232672440596265 -0.200954940963419 0.840851543865596 df.mm.exp3 -0.139199613899731 0.232672440596265 -0.598264296119503 0.550053881950606 df.mm.exp4 -0.208805134984225 0.232672440596265 -0.897421002887685 0.370116523535582 df.mm.exp5 -0.075724722365645 0.232672440596265 -0.325456346147342 0.745031870202218 df.mm.exp6 -0.168358374857163 0.232672440596265 -0.723585373608126 0.469807815890105 df.mm.exp7 -0.0375030239763924 0.232672440596265 -0.161183782145767 0.872042455507503 df.mm.exp8 -0.0670693619429619 0.232672440596265 -0.288256579812738 0.773322442919339 df.mm.trans1:exp2 0.0314616191369863 0.196644103128001 0.159992690533451 0.872979923528875 df.mm.trans2:exp2 0.179674406945257 0.196644103128001 0.913703508456097 0.361507081502693 df.mm.trans1:exp3 0.0661460037366834 0.196644103128001 0.336374204385 0.736792021426671 df.mm.trans2:exp3 0.0485323930882878 0.196644103128001 0.246803195805453 0.805206482215455 df.mm.trans1:exp4 0.268744829781196 0.196644103128001 1.36665593072100 0.172618009693285 df.mm.trans2:exp4 0.0546137014220933 0.196644103128001 0.277728650660547 0.781386061434396 df.mm.trans1:exp5 0.0864708949089076 0.196644103128001 0.439732966986664 0.660404263650226 df.mm.trans2:exp5 0.0767714202937918 0.196644103128001 0.390407945484229 0.696474468063989 df.mm.trans1:exp6 -0.0377903337089595 0.196644103128001 -0.192176287556208 0.847716533312894 df.mm.trans2:exp6 0.144041513958009 0.196644103128001 0.732498517203172 0.464358826624036 df.mm.trans1:exp7 0.0337960139893508 0.196644103128001 0.171863856844728 0.863644746850738 df.mm.trans2:exp7 -0.0575428970664093 0.196644103128001 -0.292624574808393 0.769984024135432 df.mm.trans1:exp8 -0.109137985512065 0.196644103128001 -0.555002584750911 0.579250470434306 df.mm.trans2:exp8 0.109618560130385 0.196644103128001 0.557446464891097 0.57758183619447 df.mm.trans1:probe2 -0.207402245454298 0.107706411083579 -1.92562581342866 0.0549679910318291 . df.mm.trans1:probe3 -0.0478917305076432 0.107706411083579 -0.444650694659949 0.656849413169632 df.mm.trans1:probe4 -0.0373680887945853 0.107706411083579 -0.346943960147258 0.72884373039193 df.mm.trans1:probe5 -0.0294367482275398 0.107706411083579 -0.273305441443939 0.7847810245405 df.mm.trans1:probe6 -0.0284828656413022 0.107706411083579 -0.264449120110407 0.791590865300929 df.mm.trans2:probe2 0.0505250970997325 0.107706411083579 0.469100182537191 0.639292621578803 df.mm.trans2:probe3 0.0425565211270636 0.107706411083579 0.395115951770414 0.693000088690925 df.mm.trans2:probe4 0.0602012278907641 0.107706411083579 0.558938203261168 0.576564424288087 df.mm.trans2:probe5 -0.0305825897118101 0.107706411083579 -0.283944004856669 0.77662264216778 df.mm.trans2:probe6 0.0784378940667845 0.107706411083579 0.728256500960911 0.466947738370605 df.mm.trans3:probe2 0.0448909210194563 0.107706411083579 0.416789683806488 0.677089956356748 df.mm.trans3:probe3 -0.0714395978260487 0.107706411083579 -0.66328083080043 0.507591095950952 df.mm.trans3:probe4 -0.00290413199151894 0.107706411083579 -0.0269634087915656 0.978504418764984